Customer Engineer, Advanced Technology, Google Cloud, Retail
BeijingPosted 1w ago
About the role
Customer Engineer role within Google Cloud, Retail, focused on technical leadership, enterprise AI integration, and customer-facing engagements to drive adoption of Gemini Enterprise and Google Cloud AI solutions.
Responsibilities
- Drive the technical win for workloads within Gemini Enterprise to ensure adoption, support the business-cycle from technical evaluation through customer ramp. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
- Combine business strategies with direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
- Provide technical consultation to customers on enterprise AI integration patterns, act as a technical advisor and build customer relationships.
- Work with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. Work within product and engineering management systems to document, prioritize, and drive resolution of customer feature requests and issues.
- Travel to customer sites, conferences, and other related events as required, and act as a public advocate for Google Cloud.
Qualifications
- Bachelor's degree or equivalent practical experience.
- 6 years of experience with cloud-native architecture in a customer-facing or support role, with application development and integration.
- Experience with search systems including retrieval, ranking, and search quality tuning.
- Experience with coding in Python, JavaScript or TypeScript, Go, or Java, to demo, prototype, or workshop integration patterns with customers.
- Experience in architecting solutions that integrate AI models using agents with enterprise data sources using patterns like retrieval-augmented generation (RAG), Text-to-SQL, and semantic search.
- Experience with presenting to technical stakeholders and executive leaders.
Skills
Required:Cloud-native architectureSearch systemsProgramming languagesAI integration patterns
Last updated Oct 23, 2026. Interested? Apply on the company site.
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